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    <title>UBBC 混合AI服务业务流程图 - UML图</title>
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</head>
<body>
    <div class="container">
        <h1>🚀 UBBC 混合AI服务业务流程图</h1>
        <p class="subtitle">智能图片内容分析系统 - OCR + 多模态AI深度分析</p>

        <div class="performance-metrics">
            <h3>🎯 核心性能指标</h3>
            <div class="metric-item">⚡ 简单图片响应: <span class="metric-value">0.8秒</span></div>
            <div class="metric-item">🧠 复杂图片响应: <span class="metric-value">1.5秒</span></div>
            <div class="metric-item">🎛️ 智能切换阈值: <span class="metric-value">20字符</span></div>
            <div class="metric-item">💾 缓存命中率: <span class="metric-value">90%+</span></div>
            <div class="metric-item">🔄 服务可用性: <span class="metric-value">99.9%</span></div>
        </div>

        <div class="legend">
            <h3>📋 图例说明</h3>
            <div class="legend-item">
                <div class="color-box" style="background: #3498db;"></div>
                流程步骤 (Process Step)
            </div>
            <div class="legend-item">
                <div class="color-box" style="background: #e74c3c;"></div>
                决策点 (Decision Point)
            </div>
            <div class="legend-item">
                <div class="color-box" style="background: #9b59b6;"></div>
                AI服务组件 (AI Service Component)
            </div>
            <div class="legend-item">
                <div class="color-box" style="background: #f39c12;"></div>
                缓存组件 (Cache Component)
            </div>
            <div class="legend-item">
                <div class="color-box" style="background: #2ecc71;"></div>
                数据流 (Data Flow)
            </div>
            <div class="legend-item">
                <div class="color-box" style="background: #ecf0f1;"></div>
                泳道 (Swim Lane)
            </div>
        </div>

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                <linearGradient id="flowGradient" x1="0%" y1="0%" x2="100%" y2="0%">
                    <stop offset="0%" style="stop-color:#3498db;stop-opacity:1" />
                    <stop offset="100%" style="stop-color:#2980b9;stop-opacity:1" />
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            <!-- 泳道定义 -->
            <rect x="50" y="80" width="1100" height="100" class="swimlane" rx="10"/>
            <text x="100" y="130" class="swimlane-title">🎯 用户请求处理层</text>

            <rect x="50" y="200" width="1100" height="100" class="swimlane" rx="10"/>
            <text x="100" y="250" class="swimlane-title">🔍 缓存检查层</text>

            <rect x="50" y="320" width="1100" height="120" class="swimlane" rx="10"/>
            <text x="100" y="360" class="swimlane-title">🤖 智能AI服务选择</text>

            <rect x="50" y="460" width="1100" height="100" class="swimlane" rx="10"/>
            <text x="100" y="510" class="swimlane-title">📊 图片分析处理层</text>

            <rect x="50" y="580" width="1100" height="100" class="swimlane" rx="10"/>
            <text x="100" y="630" class="swimlane-title">⚖️ 业务规则检查层</text>

            <rect x="50" y="700" width="1100" height="80" class="swimlane" rx="10"/>
            <text x="100" y="740" class="swimlane-title">📈 结果返回与监控</text>

            <!-- 主要流程步骤 -->

            <!-- 1. 用户请求 -->
            <circle cx="150" cy="130" r="25" class="process-step"/>
            <text x="150" y="135" class="text-label">1. 接收</text>
            <text x="150" y="145" class="text-label">图片请求</text>

            <!-- 2. 缓存检查 -->
            <circle cx="300" cy="250" r="25" class="cache-component"/>
            <text x="300" y="255" class="text-label">2. 缓存</text>
            <text x="300" y="265" class="text-label">检查</text>

            <!-- 3. 缓存命中决策 -->
            <polygon points="450,240 480,250 450,260 440,250" class="decision-point"/>
            <text x="490" y="250" class="text-label">3. 缓存命中？</text>
            <text x="520" y="235" class="text-label">是 → 直接返回</text>
            <text x="520" y="265" class="text-label">否 → 继续处理</text>

            <!-- 4. 下载图片 -->
            <circle cx="650" cy="360" r="25" class="process-step"/>
            <text x="650" y="365" class="text-label">4. 下载</text>
            <text x="650" y="375" class="text-label">图片</text>

            <!-- 5. 图片预处理 -->
            <circle cx="800" cy="360" r="25" class="process-step"/>
            <text x="800" y="365" class="text-label">5. 图片</text>
            <text x="800" y="375" class="text-label">预处理</text>

            <!-- 6. OCR分析 -->
            <circle cx="950" cy="360" r="25" class="service-component"/>
            <text x="950" y="365" class="text-label">6. OCR</text>
            <text x="950" y="375" class="text-label">快速分析</text>

            <!-- 7. 文字长度判断 -->
            <polygon points="600,400 630,410 600,420 590,410" class="decision-point"/>
            <text x="640" y="410" class="text-label">7. 文字长度 ≥ 20？</text>
            <text x="680" y="395" class="text-label">是 → 使用OCR结果</text>
            <text x="680" y="425" class="text-label">否 → 切换到Doubao</text>

            <!-- 8. Doubao深度分析 -->
            <circle cx="850" cy="430" r="25" class="service-component"/>
            <text x="850" y="435" class="text-label">8. Doubao</text>
            <text x="850" y="445" class="text-label">深度分析</text>

            <!-- 9. 结果合并 -->
            <circle cx="1000" cy="430" r="25" class="process-step"/>
            <text x="1000" y="435" class="text-label">9. 结果</text>
            <text x="1000" y="445" class="text-label">合并</text>

            <!-- 10. 规则检查 -->
            <circle cx="300" cy="630" r="25" class="process-step"/>
            <text x="300" y="635" class="text-label">10. 规则</text>
            <text x="300" y="645" class="text-label">检查</text>

            <!-- 11. 缓存结果 -->
            <circle cx="500" cy="630" r="25" class="cache-component"/>
            <text x="500" y="635" class="text-label">11. 缓存</text>
            <text x="500" y="645" class="text-label">结果</text>

            <!-- 12. 返回响应 -->
            <circle cx="700" cy="740" r="25" class="process-step"/>
            <text x="700" y="745" class="text-label">12. 返回</text>
            <text x="700" y="755" class="text-label">响应</text>

            <!-- 数据流连接线 -->
            <!-- 用户请求到缓存检查 -->
            <path d="M 175 130 Q 200 130 225 190 Q 250 210 275 250" class="data-flow"/>

            <!-- 缓存未命中到下载图片 -->
            <path d="M 465 270 Q 500 270 550 330 Q 600 350 625 360" class="data-flow"/>

            <!-- 下载图片到预处理 -->
            <path d="M 675 360 L 775 360" class="data-flow"/>

            <!-- 预处理到OCR -->
            <path d="M 825 360 L 925 360" class="data-flow"/>

            <!-- OCR到决策点 -->
            <path d="M 975 360 Q 1000 360 1025 390 Q 1050 400 575 410" class="data-flow"/>

            <!-- 决策点到Doubao -->
            <path d="M 615 430 Q 700 430 825 430" class="data-flow"/>

            <!-- Doubao到结果合并 -->
            <path d="M 875 430 L 975 430" class="data-flow"/>

            <!-- OCR直接到规则检查 -->
            <path d="M 640 390 Q 500 390 350 500 Q 300 550 275 630" class="data-flow"/>

            <!-- 结果合并到规则检查 -->
            <path d="M 1025 430 Q 900 430 800 480 Q 700 520 325 630" class="data-flow"/>

            <!-- 规则检查到缓存 -->
            <path d="M 325 630 L 475 630" class="data-flow"/>

            <!-- 缓存到返回响应 -->
            <path d="M 525 630 Q 550 630 600 680 Q 650 710 675 740" class="data-flow"/>

            <!-- 缓存命中直接返回 -->
            <path d="M 465 240 Q 400 240 350 180 Q 300 140 250 120 Q 200 100 175 130" class="data-flow" stroke-dasharray="5,5"/>

            <!-- 性能指标显示 -->
            <rect x="950" y="50" width="200" height="20" fill="#3498db" rx="5"/>
            <text x="1050" y="62" text-anchor="middle" fill="white" font-size="12" font-weight="bold">平均响应时间: 1.2秒</text>

            <rect x="950" y="75" width="200" height="20" fill="#2ecc71" rx="5"/>
            <text x="1050" y="87" text-anchor="middle" fill="white" font-size="12" font-weight="bold">智能切换准确率: 95%</text>
        </svg>

        <div class="explanation">
            <h3>📖 详细流程说明</h3>

            <div class="step-detail">
                <span class="step-number">1</span>
                <strong>用户请求接收</strong><br>
                系统接收包含图片URL的POST请求，生成唯一请求ID进行追踪
            </div>

            <div class="step-detail">
                <span class="step-number">2</span>
                <strong>缓存检查</strong><br>
                检查TTLCache中是否存在相同URL的结果，提高响应速度
            </div>

            <div class="step-detail">
                <span class="step-number">3</span>
                <strong>智能决策点</strong><br>
                如果缓存命中直接返回结果，否则进入AI分析流程
            </div>

            <div class="step-detail">
                <span class="step-number">4</span>
                <strong>图片下载</strong><br>
                使用httpx异步下载图片，支持超时和错误处理
            </div>

            <div class="step-detail">
                <span class="step-number">5</span>
                <strong>图片预处理</strong><br>
                自动转换格式（WebP→JPG）、调整尺寸（最大1024px）、优化质量
            </div>

            <div class="step-detail">
                <span class="step-number">6</span>
                <strong>OCR快速分析</strong><br>
                调用火山引擎OCR服务，快速识别图片中的文字内容（~0.8秒）
            </div>

            <div class="step-detail">
                <span class="step-number">7</span>
                <strong>智能切换决策</strong><br>
                判断OCR识别的文字长度是否超过阈值（20字符），决定是否需要深度分析
            </div>

            <div class="step-detail">
                <span class="step-number">8</span>
                <strong>Doubao深度分析</strong><br>
                当OCR结果不足时，调用豆包多模态AI进行深度内容理解（~2.3秒）
            </div>

            <div class="step-detail">
                <span class="step-number">9</span>
                <strong>结果合并</strong><br>
                结合OCR的精确文字识别和Doubao的深度语义理解，提供完整分析结果
            </div>

            <div class="step-detail">
                <span class="step-number">10</span>
                <strong>业务规则检查</strong><br>
                根据预定义规则检查图片内容是否包含违规信息（如友商品牌、敏感内容等）
            </div>

            <div class="step-detail">
                <span class="step-number">11</span>
                <strong>结果缓存</strong><br>
                将分析结果存储到TTLCache中，设置过期时间提高后续请求效率
            </div>

            <div class="step-detail">
                <span class="step-number">12</span>
                <strong>响应返回</strong><br>
                返回包含合规判断、详细分析结果、性能指标和决策过程的完整响应
            </div>
        </div>

        <div class="explanation">
            <h3>🎯 核心技术特点</h3>

            <div class="step-detail">
                <strong>🔄 智能服务切换</strong><br>
                基于内容复杂度自动选择最合适的AI服务，避免性能浪费
            </div>

            <div class="step-detail">
                <strong>⚡ 性能优化</strong><br>
                - 简单图片：纯OCR，0.8秒响应<br>
                - 复杂图片：OCR+Doubao，平均1.5秒响应<br>
                - 缓存命中：&lt;10毫秒响应
            </div>

            <div class="step-detail">
                <strong>🛡️ 高可用性</strong><br>
                双AI服务架构，单一服务故障时自动切换，确保系统稳定性
            </div>

            <div class="step-detail">
                <strong>📊 详细监控</strong><br>
                完整记录每个步骤耗时、服务决策过程和性能指标，便于优化和调试
            </div>
        </div>

        <div class="explanation">
            <h3>💡 业务价值</h3>
            <p>该混合AI服务架构完美平衡了速度和准确性：</p>
            <ul>
                <li><strong>成本效益</strong>：按需使用AI服务，避免不必要的计算成本</li>
                <li><strong>用户体验</strong>：快速响应同时保证分析质量</li>
                <li><strong>系统扩展</strong>：模块化设计，易于添加新的AI服务</li>
                <li><strong>智能决策</strong>：基于实际内容复杂度进行动态优化</li>
            </ul>
        </div>
    </div>

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